Senior Data Engineer

Avenga; Tandil; Vor Ort; ARS 139.364.000 - 201.304.000; Vollzeit

Zusammenfassung

Avenga in Argentina seeks a Senior Data Engineer / Data Platform Architect to advance modern data platforms, AI enablement, and secure data access across regulated environments. You will design scalable data access frameworks for applications, APIs, AI agents, and MCP-based solutions.

You’ll collaborate with Architecture, Security, Governance, Development, and AI teams to build reusable data products and enforce governance via Unity Catalog.

Qualifikationen

• Bachelor's degree or higher in a relevant field.
• 5+ years of experience in data platform architecture, data engineering, or distributed services integration.
• Hands-on Databricks and Unity Catalog experience.
• APIs and services design with OAuth2, OIDC, JWT and SOA.
• Generative AI architectures, AI agents, LLMs, tool/function calling, and MCP protocols.
• Strong data architecture, systems integration, security, and AI-driven solutions.
• API-first mindset with reusable data products/services.
• Security, governance, traceability, and least-privilege access knowledge.
• Ability to translate business requirements into scalable tech solutions.
• Strong communication and cross-functional collaboration skills.

Aufgaben

• Design secure and scalable data access architectures for applications, APIs, AI agents, and MCP-based solutions.
• Define reusable access patterns leveraging Data Services, APIs, SQL, functions, and MCP frameworks.
• Implement robust authentication and authorization mechanisms while preserving user identity, context, and permissions.
• Integrate data access models with Unity Catalog, governance policies, data masking, and security controls.
• Design and maintain Data Products and Data Services with clear contracts, ownership, and versioning strategies.
• Implement traceability and auditing capabilities for users, services, AI agents, and accessed resources.
• Define secure architectural patterns that enable AI solutions to consume corporate information safely and efficiently.
• Integrate Databricks platforms with AI models, agents, APIs, and internal or external systems.
• Develop reusable components and frameworks that accelerate AI and data-driven initiatives across the organization.
• Collaborate with Architecture, Security, and Governance teams to establish enterprise Data-to-AI standards and best practices.

Kenntnisse

5+ years data exp

Databricks Unity Catalog

API security (OAuth2/OIDC/JWT)

Generative AI / LLMs

Data architecture & security

API-first design

Security & governance

Business-to-Tech translation

Cross-functional collaboration

Ausbildung

Bachelor's degree in Engineering, Information Technology, Computer Science, Systems Engineering, or a related field

Jobbeschreibung

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

At the core of the role

In CABA, we are actively seeking a Senior Data Engineer / Data Platform Architect to strengthen our team focused on modern data platforms, AI enablement, and secure data access architectures within the financial services sector. Your primary responsibility will involve designing scalable and governed data access frameworks that support applications, APIs, AI agents, and emerging AI-powered solutions while ensuring security, traceability, and compliance with enterprise standards.

In this role, you'll become a vital member of a multidisciplinary team working closely with Architecture, Security, Governance, Development, and AI specialists. The team is responsible for building reusable data products, enabling AI adoption, implementing secure access patterns, and driving the evolution of enterprise data platforms based on modern cloud and Databricks technologies.

This position requires working onsite at the client's office in CABA (Buenos Aires) 1 once a week.

Core Skills You’ll Bring

• Bachelor's degree in Engineering, Information Technology, Computer Science, Systems Engineering, or a related field.
• At least 5 years of experience in data platform architecture, data engineering, or distributed services integration.
• Strong hands-on experience with Databricks and Unity Catalog.
• Experience designing and implementing APIs and services using OAuth2, OIDC, JWT, and service-oriented architecture principles.
• Practical knowledge of Generative AI architectures, AI agents, LLMs, tool/function calling, and MCP protocols.
• Strong understanding of data architecture, systems integration, security, and AI-driven solutions.
• API-first mindset with experience designing reusable data products and services.
• Deep understanding of security, governance, traceability, and least-privilege access principles.
• Ability to translate business requirements into scalable technical solutions and reusable capabilities.
• Strong communication skills and experience collaborating across cross-functional teams.

Nice-to-have

• Experience with AI services within the Databricks ecosystem.
• Experience in API management and enterprise data governance initiatives.
• Background in banking, financial services, or other highly regulated industries.
• Experience implementing data masking, auditing, and governance controls.
• Knowledge of modern cloud-native architectures and AI platform integrations.

The impact you'll create

• Design secure and scalable data access architectures for applications, APIs, AI agents, and MCP-based solutions.
• Define reusable access patterns leveraging Data Services, APIs, SQL, functions, and MCP frameworks.
• Implement robust authentication and authorization mechanisms while preserving user identity, context, and permissions.
• Integrate data access models with Unity Catalog, governance policies, data masking, and security controls.
• Design and maintain Data Products and Data Services with clear contracts, ownership, and versioning strategies.
• Implement traceability and auditing capabilities for users, services, AI agents, and accessed resources.
• Define secure architectural patterns that enable AI solutions to consume corporate information safely and efficiently.
• Integrate Databricks platforms with AI models, agents, APIs, and internal or external systems.
• Develop reusable components and frameworks that accelerate AI and data-driven initiatives across the organization.
• Collaborate with Architecture, Security, and Governance teams to establish enterprise Data-to-AI standards and best practices.

People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.